Mathematical problem-posing and modeling are essential skills in developing students' analytical thinking and problem-solving abilities. This study aims to examine correlation between 9th-grade students' problem-posing and mathematical modeling skills within the learning domain of numbers and algebra. Additionally, it evaluates students'…

Writing high-quality procedural texts is a challenging task for many learners. While example-based learning has shown promise as a feedback approach, a limitation arises when all learners receive the same content without considering their individual input or prior knowledge. Consequently, some learners struggle to grasp or relate to the feedback,…

The selection process of a coaching model should be an initial consideration before conducting training activities. However, the limited availability of coaching models hinders the delivery of quality training programs. Therefore, it is necessary to have options for coaching models. This research aims to develop a goal, actual, alternative, plan,…

Research on teachers' digital competence presents conflicting perspectives, posing a significant challenge to its enhancement. While researchers have explored the multifaceted factors influencing teachers' digital competence, the field has yet to develop a comprehensive factor model that can systematically analyze its development. This study…

This paper develops a Problem-Based Learning as a Service-Based Skills Development (PBL-SBSD) model that aims to meet student curriculum needs by providing them with lifelong skills while solving an identified real-life problem in their community. The paper introduces a six-stage cyclical model combining project-based learning (PBL) and…

This study explored the viability of applying an innovative model of teacher professional development (PD) within the context of the UAE. Predicated upon a conceptual framework incorporating the principles of content focus, active learning, and duration of training, the model aimed to promote the capability of teachers to meet the needs of all…

This study investigates the development and implementation of a big data-driven English ecological classroom teaching model, aiming to reform university English instruction in alignment with contemporary technological advancements. The conventional teaching framework, often limited to textbooks and in-class activities, has been shown to…

This study introduces an Action Learning -- Professional Development Framework (AL-PDF) designed to enhance research skills among young agricultural scientists in a rural institution. The framework tackles issues such as limited research capacity, the absence of formal professional development (PD) pathways, and limited resources. Beyond our…

Teaching and learning pronunciation can be challenging for second language (L2) teachers and learners alike. Many people may even adopt that attitude that, 'She'll be right', thinking that L2 learners' pronunciation difficulties will likely sort themselves out in time. Yet many learners consider pronunciation to be the most difficult oral…

In this work, we discuss the importance of underlying theoretical assumptions in research, focusing on the conclusions reached when analyzing data from a misconceptions constructivist (stable, unitary) perspective in contrast to a fine-grained constructivist (resources, knowledge-in-pieces) perspective. Both frameworks are rooted in the idea that…

The Big Data for Education Spoke of the NSF Northeast Big Data Innovation Hub and ETS co-sponsored an educational data mining competition in which contestants were asked to predict efficient time use on the NAEP 8th grade mathematics computer-based assessment, based on the log file of a student's actions on a prior portion of the assessment. In…

In educational applications, "Knowledge Tracing" (KT) has been widely studied for decades as it is considered a fundamental task towards adaptive online learning. Among proposed KT methods, Deep Knowledge Tracing (DKT) and its variants are by far the most effective ones due to the high flexibility of the neural network. However, DKT…

Classifying educational forum posts is a longstanding task in the research of Learning Analytics and Educational Data Mining. Though this task has been tackled by applying both traditional Machine Learning (ML) approaches (e.g., Logistics Regression and Random Forest) and up-to-date Deep Learning (DL) approaches, there lacks a systematic…

Consistency of learning behaviors is known to play an important role in learners' engagement in a course and impact their learning outcomes. Despite significant advances in the area of learning analytics (LA) in measuring various self-regulated learning behaviors, using LA to measure consistency of online course engagement patterns remains largely…

Educational data mining helps the educational institutions to perform effectively and efficiently by exploiting the data related to all its stakeholders. It can help the at-risk students, develop recommendation systems and alert the students at different levels. It is beneficial to the students, educators and authorities as a whole. Deep learning…